Dynamic Yield is presented as an AI-powered Experience Optimization platform that delivers individualized experiences at every customer touchpoint: web, apps, email, kiosks, IoT, and call centers. The platform’s data management capabilities provide for a unified view of the customer, to allow the rapid and scalable creation of highly targeted digital interactions. Marketers, product managers, and engineers use Dynamic Yield for: Launching new personalization…
N/A
Google Tag Manager
Score 8.4 out of 10
N/A
From Google, the Google Tag Manager is a tag management application that facilitates creating, embedding, and updating tags across websites and mobile apps, thus gaining the benefits of data standardization and speed of deployment. Google touts an agency friendly system with multiple user access, and tools to improve tags performance like debugging, and rules, macros or automated tag firing. The Google Tag Manager also integrates with Google product DoubleClick. Moreover, Google Tag Manager is…
Dynamic Yield provides far more capability and ready-to-go templates for small-medium sized businesses, as well as decent API implementation for businesses who want to have a deeper integration. The ease of implementation and faster time-to-market is why we chose Dynamic Yield.
Dynamic Yield is great for just about any sized organization, though to get the best bang for your buck, I recommend having a front-end web developer well-versed in JavaScript. Additionally, a front-end web designer would be advisable as well as their templates have great functions but some have lackluster UI's that can't be tweaked without developer assistance. Were it not for the above + the occassional slowness on the console/admin-side of the platform, I'd give it a 10. If you have a front-end dev/designer, then it's closer to a 9.5. Ideal utilization scenarios could include: Personalization, CRO/UX/UI testing, and audience or user-level tailored digital experience.
Google Tag Manager is well suited when the marketer or marketing team does not work closely with the developers. In this scenario, it means that the marketer can deploy 3rd party tools such as live chat widgets, advertising pixels, and much more themselves in a timely manner. Google Tag Manager may be less relevant in an organization where the marketer is also the developer or has a strong development background, where they can implement the 3rd party tags directly on the site when they need. But even in this instance, there's still great benefit in using Google Tag Manager.
Provide fantastic support, both in relation to strategy/best practice and troubleshooting.
An easy to use interface, as a user who is relatively new to Dynamic Yield I find that it is an intuitive platform to use.
The ability to segment and drill down on data allows for really specific insights which, whilst not necessarily being leveraged on a testing basis, can be super valuable from a greater marketing perspective.
Selecting elements on a site [object, class, cookie, etc] (to later fire an event, send some data, etc) is very easy with triggers. Want to add an event when someone clicks on a button? Super easy. It was many many DOM selectors and you can even add custom functions if you need to do something more specific
In general, firing events in different circumstances is very easy mixing triggers and tags. You can track almost any element of the DOM and do whatever you want with it.
Testing is a great functionality. Only you can see what's on the site and you can debug it easily by seeing which events or tags were triggered and all the DOM elements involved (and why they matched the trigger).
Working in environments (staging, production) and versioning is easy to do, deploying changes in 2 clicks.
The impact (either positive or negative) of potentially overlapping campaigns, especially the UX personalization or custom code campaigns, may not be easily identifiable.
It would make more sense for the new deep-learning and machine learning (ML) driven strategies be made part of the standard offering, as opposed to positioning them as add-on subscription, given that many other completing services are baking in ML as part of their platform evolution.
The documentation on the API and custom code implementation can be fleshed out further.
There are several good integrations, but there can always be more. Native tracking for call tracking solutions, analytics providers, non-Google advertisers would be top of my list.
Documentation is just dreadful. Luckily there are some awesome folks out there doing crowdsourced tutorials (shout out to Simo Ahava) but by and large the Google Tag Manager instructions are worth what you pay for them.
implementation took a long time but also, DY has really proven that they are transforming and adapting their platform to be more user friendly and the right technology choice for their brand or company
Google Tag Manager makes tracking traffic to our websites effortless, which enables our developers to focus on other tasks. Setting up a new instance takes only minutes and additional scripts can be added/modified without touching the source code of a site in production. This enables our marketing directors to coordinate tests and experiments with minimal effort.
Setting up strategies, audiences, and experiences is simple and fast. It is incredibly easy to modify the appearance of your site and optimize every aspect with the Dynamic Yield Personalizations. However, while the data visualization on an experience level is easy to modify and analyze, exporting the data in meaningful ways is time consuming.
Google Tag Manager is the definition of a learning curve. At the beginning, you can barely do the minimum and it can seem questionable as to why you would use it. However, as users begin to learn its offerings and see how it can do much more, they will have a moment where GTM becomes a tool that empowers their ability to track and efficiently collect data for important business questions.
Overall, the support is very good. If you are a partner (my case), they assign you a customer success manager, that helps a lot. Also, there is a technical person to provide support to the partners, again a great help.
My only "complain" is that with some complex issues, the support may delay in providing you with a solution. Sometimes that can cause some tension with your client.
Planning and communication will help greatly with an in-house implementation. If there are large teams, try to limit the number of people involved to 1-2 developers (back-end dev may be necessary depending on your platform), one analytics marketer and one project manager.
Oracle Maxymiser is very clunky and hard to code with. Previewing changes was a challenge and development for fixes were slow
Optimizely - Great for coding. Fast and efficient. Everything worked great. They were limited at personalization triggers though and their costs were expensive.
Monetate - Evaluated but their UI was hard to use.
We moved to GTM from a standard Google Analytics implementation. GTM is much more flexible and easier to make changes, especially as the changes relate to multiple sites and environments. While there is a learning curve when figuring out how to use GTM, I believe the change has been worth it because it helps us understand at a more fundamental level how our tracking works and gives us a lot more control over what we track and how.
Most tests have had a positive impact on either revenue or conversion rate - quite often in double digits.
Dynamic Yield has also helped us to stop some particular initiatives through direct interaction with the customer base via questionnaires or by a test proving negative quicker than rolling out a permanent feature.
GTM is very useful to determine if a particular element on the site is useful (i.e. is it being watched, is it being clicked, does it help customers navigate through more pages). As an SEO person, I can use this information to decide what to optimize for but also to track progress and see improvements in engagement.
With the use of Google Tag Manager, I was able to easily inject an A/B testing tool which lead to several improvements in lead generation.
